The vEPU III has developed an EPG, which is used to register and develop over time a bank of emotional associations for each memory data within each intelligent machine. The Emotion recognition classifiers achieve more than 86 percent accuracy (ISEAR) on the conversation. The most innovative aspect of Emoshape’s emotion synthesis breakthrough is its real-time appraisal computation with reinforcement learning and Emotion Profile Graph (EPG) computation functionality allowing the AI or robot to experience 64 trillion possible distinct emotional states.Įmotional stimuli are stored within the memory bank with their associated cognitive and physical state. Our revolutionary algorithms enable machines to respond to stimuli in line with one of the twelve primary emotions: anger, fear, sadness, disgust, indifference, regret, surprise, inattention, trust, confidence, desire, and joy. The EPU is based on Patrick Levy-Rosenthal’s Psychobiotic Evolutionary Theory, extending Ekman’s theory by using twelve primary emotions identified in the psycho-evolutionary theory and pain/pleasure and frustration/satisfaction.
Emoshape has completed the deployment of the first EPU (emotional processing unit) in the cloud, a fully patented technology that creates emotional states and synthetic emotion in intelligent machines. The EPU III family is transforming the capabilities of Robots and AI. As a result, we are transforming the capabilities of Robots and AI, creating emotional states and synthetic emotion in intelligent machines.ĮPU is the industry’s first virtual emotion synthesis engine that delivers high-performance machine emotion awareness. Our unique, patented technology goes the next step by using AI to shape the machine’s cognitive appraisal and response, especially where voice and facial applications are involved. Most of the AI research and innovation in this area has focused on detecting the emotional state by the machine.
Try our cutting-edge service today by signing up for our cloud subscription package. You can seamlessly implement the Emoshape SER using our cloud API in your own applications as a developer. aggressive): 8.2534Ī Semantic cognitive process can be added to our platform as multi-modal input to increase the accuracy and improve the quality of the Emotion Synthesis. Emoshape’s SER technology chooses between these five emotions with high effectiveness (76.2%), even if it hears the speaker for the first time. “For example, our clients now can use a multimodal system of detection to power a better emotional response in AI, NPC, or avatar.”Įmoshape SER has the ability to measure directly from your voice whether you are happy, angry, fearful, or have a neutral state of mind. “The cloud version allows the client to rapidly implement SER in call centers, healthcare, games, or mobility automotive,” said Patrick Levy-Rosenthal, the founder of Emoshape.
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